From small teams to large organizations we offer group discounts on this Program and our entire course catalog
“I have an undergraduate degree in computer science that didn't include any machine learning and I'm very new to most of the concepts presented in this course. I've spent a ton of time on the Khan Academy and Coursera and I'm blown away by the quality and professionalism of the content of this course. Highly recommended!”
Christopher kelly
Student
Topics and Algorithms
Cloud Computing/GPUs, Mixture Density Networks and Handwriting Synthesis, Modeling Attention w/ RNNs, Image-to-Image translation w/ GANs
Topics and Algorithms
Modeling music and art w/ RNNs, Reinforcement Learning, WaveNet and NSynth, NLP w/ Dilated & atrous convolutions, Autoregressive Image modeling w/ PixelCNN and more
What our students say
Watch lectures come to life across videos, animations, demonstrations, and interviews.
"The course is well structured and is good for tensorflow starters. The instructor is very knowledgeable, clear and detailed in his explanation of deep learning & tensorflow concepts."
JAY SHANKAR
Student
Discuss lessons, coursework, and important announcements on easy-to-use forums.
Earn a verified and shareable Certificate of Accomplishment.
Natan H
Instructor
Robert Henke
Guest Lecturer
John Tejada
Guest Lecturer
Jeffery Weeter
Instructor
Name
Guest Lecturer
Owen Vallis
Instructor
DEEP LEARNING AND
MACHINE INTELLIGENCE
Topics and Algorithms
Deep Convolutional Neural Nets, Variational Autoencoders, Generative Adversarial Networks, Recurrent Neural Networks, DeepDream/StyleNet
wHAT YOU WILL LEARN
The material learned in this program will allow your employees to apply what they learn to other frameworks such as Keras, Caffe, or Theano with greater ease while having a strong foundation in the core components of Deep Learning.
Whether your workforce is comprised of computer scientists, psychologists, journalists, creative coders or designers, no machine learning background is assumed, and anyone can begin to apply Deep Learning techniques within their domain after taking this comprehensive Program.
A Practical Hands-on training Program for teams to master Deep Learning and A.I.
This 3-course training program, made in collaboration with Google Magenta and NVIDIA, is designed to transform your workforce through a comprehensive curriculum that takes learners from the basic fundamentals all the way through state-of-the-art Deep Learning applications.
Still deciding?
About Google TensorFlow
TensorFlow is developed by engineers at the Google Brain Team for the purposes of conducting machine learning and deep neural network research. It is responsible for major developments in Speech, Language, Audio, and Image modeling, synthesis, and understanding and can be seen in virtually all of their products.
Google introduced a subset of their library TensorFlow™ as an open-source software library for Machine Intelligence. It is a library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them.
Their flexible architecture allows you to deploy computation to one or more CPUs in a desktop, server, or mobile device with a single API, providing one of the most comprehensive and versatile libraries for numerical computation available.
IN THE NEWS
May 2, 2017 | Freecodecamp
KADENZE® – THE FUTURE OF CREATIVE EDUCATION
Kadenze, Inc. (“Kadenze”), has a foundation of decades of experience in learning in creativity and engineering; and deep and long-term technology & startup experience.
We provide online access to learning from the world’s best schools and creative leaders using a proprietary learning management system; a dynamic social space for discourse and sharing bodies of work; and career building tools such as professional quality portfolios to connect to employers.
Our vision is to bring learning to the masses, wherever they are, from world-class educators and institutions at the intersection of arts & creative technologies (“Creativity”), at affordable prices.
OUR UNIQUE VALUE PROPOSITION
Deep Learning is at the forefront of nearly every computational breakthrough in the recent past and will be for the foreseeable future. We experience Deep Learning in most products we use today, whether it may be our shopping experience at Amazon or entertainment at Netflix, while behind the scenes it is being used to block spam and make recommendations when we use personal assistants like Siri.
Our course offering may sound to be very similar to the other online learning platforms, however, we take an approach to learning that requires you to problem solve, applying your work to a creative problem, and interacting with the results of your work with your peers. We also provide you with a state of the art toolkit of source code that represents the past 2 years of developments in Deep Learning.
...quite unique compared to other Deep Learning courses as it is geared, from the outset, to doing creative work...helps to understand the core underlying concepts even better than if it was just a "formal" course on Deep Learning..."
GABRIEL MONTAGNÉ
Student
“I have an undergraduate degree in computer science that didn't include any machine learning and I'm very new to most of the concepts presented in this course. I've spent a ton of time on the Khan Academy and Coursera and I'm blown away by the quality and professionalism of the content of this course. Highly recommended!”
Christopher kelly
Student
Some of the best detailed notes (jupyter nb) I have seen for an online class. Also, the videos are very polished. You can follow through the teacher's thought process just by reading the notebooks."
ANONYMOUS
Student
"The course is well structured and is good for tensorflow starters. The instructor is very knowledgeable, clear and detailed in his explanation of deep learning & tensorflow concepts."
JAY SHANKAR
Student
The course is well structured and is good for tensorflow starters. The instructor is very knowledgeable, clear and detailed in his explanation of deep learning & tensorflow concepts."
JAY SHANKAR
Student
DEEP LEARNING AND MACHINE INTELLIGENCE
This 3-course training program, made in collaboration with Google Magenta, is designed to transform your workforce through a comprehensive curriculum that takes learners from the basic fundamentals all the way through state-of-the-art Deep Learning applications.
Parag Mital
Director of Machine Intelligence, Kadenze, Inc.
Dr. Parag Mital is a computational artist researching models of audiovisual perception. As a researcher, he investigates how film together with eye-movement and EEG recordings can help to explore how people attend to and represent audiovisual scenes.
Parag completed his Postdoctorate at Dartmouth in fMRI and computational modeling; Ph.D. at University of London in Art and Computational Technologies; and M.Sc. at Edinburgh University in Artificial Intelligence. His work has been widely published in high impact scientific journals and conferences. Parag is also a successful international artist whose work has appeared in BBC, NYTimes, FastCompany and others. He now serves as the Director of Machine Intelligence at Kadenze, Inc. where he is on a mission to bring a practical understanding of AI to the world.
About The Instructor
Everything is built using Python and Google TensorFlow, and applied through guided homework assignments. Unlike other courses which focus solely on theory and have very little practical guidance for understanding Deep Learning, this Program is entirely application-led and taught inside the Python console with real-world examples and code. Learners will leave with a state of the art toolkit of source code that represents the past 2 years of developments in Deep Learning.
Why this program?
IN THE NEWS
May 2, 2017 | Freecodecamp
Siri® is a registered trademark of Apple Inc. and TensorFlow, the TensorFlow logo and any related marks are trademarks of Google Inc.
© 2017 Kadenze, Inc.
Kadenze® & Kannu® are registered trademarks of Kadenze, Inc.
MADE IN COLLABORATION WITH
Become an expert and learn the algorithms that are driving advancements in classification and recognition, sentiment analysis, chatbots, image synthesis and more. From image recognition to topic modeling and Natural Language Processing, this comprehensive Program will guide you through hands-on examples and even show you how to deploy your models in the cloud.